Design of 2-Level Clustering Framework for Time Series Data Sets

被引：0

作者：

Thakur, G. S. ^{[1
]}

Thakur, R. S. ^{[1
]}

Thakur, Ravi Singh ^{[2
]}

机构：

[1] Maulana Azad Natl Inst Technol MP, Bhopal, India

[2] Samrat Ashok Technol Inst MP, Bhopal, India

来源：

PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON SOFT COMPUTING FOR PROBLEM SOLVING (SOCPROS 2011), VOL 2 | 2012年 / 131卷

关键词：

Clustering; D2LCF; Learning;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Clustering an important issue in the analysis of data like science, technology, social science, biology and medicine. This paper presents an approach the Design of 2-Level Clustering Framework (D2LCF) for Time Series Data Sets. The D2LCF approach is an integration of Level-1 Clustering and Level-2 Clustering. The D2LCF includes the different phases like Input collection, Transformation Clustering Process and Results Analysis. The performance evaluation of Experimental Results has done using SAS9.2 analytical Tool. The Experimental Results show that the proposed approach out performs.

引用

页码：205 / +

页数：3

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